| Reference: | Abelson, R .P., & Levi, A. (1985). Decision making and decision theory, in the handbook of social psychology. NY: Knopf. 231-309.
Ajzen, I., Fishbein, M., (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.
Anckar, B. (2002). Rationales for consumer adoption or rejection of e-commerce: Exploring the impact of product characteristics. Proceedings of the SSGRR 2002s International Conference.
Anckar, B., & D’Incau, D. (2002). Value creation in mobile commerce: Findings from a consumer survey. The Journal of Information Technology Theory and Application, 4 (1), 43-64.
Balasubraman, S., Peterson, R. A., & Jarvenpaa, S. L. (2002). Exploring the implications of m-commerce for markets and marketing. Journal of the Academy of Marketing Science, 30 (4), 348-361.
Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37 (2), 122-147.
Beach, L. R., & Mitchell, T. R. (1978). A contingency model for the selection of decision strategies. Academy of Management Review, 3 (3), 439-449.
Bentler, P. M. (1992). On the fit of models to covariances and methodology to the bulletin. Psychological Bulletin, 112, 400-404.
Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and internet shopping behavior, Communications of the ACM, 43 (11), 98–114.
Bhattacherjee, A. (2000). Acceptance of e-commerce services: The case of electronic brokerages. IEEE Transactions on Systems, Man and Cybernetics 30 (4), 411–420.
Bouwman, H., López-Nicolás, C., & Molina-Castillo, F. J. (2012). Consumer lifestyles: Alternative adoption patterns for advanced mobile services. International Journal of Mobile Communications, 10 (2), 169-189.
Brown, L. G. (1989). The strategic and tactical implications of convenience in consumer product marketing. Journal of Consumer Marketing, 6, 13-19.
Bruner, G. C. II., & Kumar, A. (2005). Explaining consumer acceptance of handheld Internet devices. Journal of Business Research, 58 (5), 553-558.
Byrne, B. M., Shavelson, R. J., & Muthen, B. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement in variance. Psychological Bulletin, 105 (3), 456-466.
Byrne, B. M. (2008). Testing for multigroup equivalence of a measuring instrument: A walk through the process. Psicothema, 20 (4), 872-882.
Cavana, R. Y., Delanaye, B. L., & Sekaran, U. (2001). Applied business research: Qualitative and quantitative methods. Australia: John Wiley & Sons.
Chang. M. (2012). NCC Unveils Taiwan`s 4G Telecom Schedule. Retrieved from http://www.taiwan4g.com/taiwan_4g_schedule.php
Chang, C. C., Yan, C. F., & Tseng, J. S. (2012). Perceived convenience in an extended technology acceptance model: Mobile technology and English learning for college students. Australasian Journal of Educational Technology, 28 (5), 809-826.
Cheon J., Lee S., Crooks S. M., & Song J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 59, 1054–1064.
Chin, W. W., Mills, A. M., Steel, D. J., & Schwarz, A. (2012). Multi-group invariance testing: An illustrative comparison of pls permutation and covariance-based sem invariance analysis. 7th International Conference on Partial Least Squares. Retrieved from http://www.plsconference.com/Slides/PLS2012%20%28Chin,%20Mills,%20Steel,%20Schwarz%29.pdf
CNN (2012). Fortune 500. Retrieved from http://money.cnn.com/magazines/fortune/fortune500/2012/full_list/
Costello, A. B., & Osborne, W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment Research & Evaluation, 10.
Dallal, G. E. (2003). Why p=0.05? [Word document]. Retrieved from http://www.webpages.uidaho.edu/~brian/why_significance_is_five_percent.pdf
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13 (3), 318–339.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35 (8), 982-1003.
Donahue, B. H. (2006). The effect of partial measurement invariance on prediction. [Docteral dissertation]. Retrieved from University of Georgia Thesis and Dissertations.
Doolin, B., Dillon, S., Thompson, F., & Corner, J. L. (2005). Perceived risk, internet shopping experience and online purchasing behavior: A New Zealand perspective. Journal of Global Information Management, 13 (2), 66-88.
Elkington, K. S., Bauermeister, J. A., & Zimmerman, M. A. (2011). Do parents and peers matter? A prospective socio-ecological examination of substance use and sexual risk among African American youth. Journal of Acolescence, 34 (5), 1035-1047.
Fogg, I. (2009). The "smartphone" is dead: Long live smart phones and smart gadgets. Forrester Research. Retrieved from http://www.forrester.com/rb/Research/smartphone_is_dead_long_live_smart_phones/q/id/53697/t/2
Forsythe, S., Liu, C., Shannon, D., & Gardner L. C. (2009). Development of a scale to measure the perceived benefits and risks of online shopping. Journal of Interactive Marketing, 20 (2), 55-75.
Gardner, M., & Steinberg, L. (2005). Peer influence on risk taking, risk preference, and risky decision making in adolescence and adulthood: An experimental study. Developmental Psychology, 41 (4), 625-635.
George, J. F. (2002). Influences on the intent to make internet purchases. Internet Research: Electronic Networking Applications and Policy, 12 (2), 165-180.
Greenspoon, P. J., & Saklofske, D. H. (1998). Confirmatory factor analysis of the multidimensional student`s life satisfaction scale. Personality and Individual Differences, 25, 965-971.
Haenlein, M., & Kaplan, A. M. (2004). A beginner’s guide to partial least squares analysis. Understanding Statistics, 3 (4), 283–297.
Henseler, J., Ringle, C. M., & Sinkovics, R.R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277–320.
Hsu, M. H., Yen, C. H., Chiu, C. M., & Chang C. M. (2006). A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior. International journal of human-computer studies, 64, 889–904.
Hofstede, G. (2001). Culture`s consequences: Comparing values, behaviors, institutions and organizations across nations. Thousand Oaks, CA; Sage.
Hong, Z., & Yi, L. (2012) Research on the influence of perceived risk in consumer on-line purchasing decision. Physics Procedia, 24, 1304-1310.
Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6 (1), 53-60.
Hung, M. C., Yang, S. T., & Hsieh, T. C. (2012). An examination of the determinants of mobile shopping continuance. International Journal of Electronic Business Management, 10 (1), pp. 29-37
International data corp (2011). Low prices to drive Taiwan’s smartphone market in 2012: IDC. Retrieved from http://focustaiwan.tw/ShowNews/WebNews_Detail.aspx?Type=aECO&ID=201112190042
Jarvenpaa, S. L., Tractinsky. N., & Vitale, M. (2000). Consumer trust in an internet store. Information Technology and Management, 1 (1–2), 45–71.
Javadi, M. H. M., Dolatabadi, H. R., Nourbakhsh, M., Poursaeedi, A., & Asadollahi, A. R. (2012). An analysis of factors affecting on online shopping behavior of consumers. International Journal of Marketing Studies, 4 (5), 81-98.
Jih, W. J. (2007). Effects of consumer-perceived convenience on shopping intention in mobile commerce: An empirical study. International Journal of E-Business Research, 3 (4), 33-48
King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43, 740–755.
Kim, S. (2010). The influence of likert scale format on response result, validity, and reliability of scale - using scales measuring economic shopping orientation. Journal of the Korean Society of Clothing and Textiles, 34 (6), 913-927.
Kim, D. J., Ferrin D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44, 544–564.
Kohli, A. (1989). Determinants of influence in organizational buying: a contingency approach. Journal of Marketing, 53, 50–65
Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8, 130–141.
Lee, Y. E., & Benbasat, I. (2004). A framework for the study of customer interface design for mobile commerce. International Journal of Electronic Commerce, 8 (3), 79–102.
Lee, J. W., Jones, P. S., Mineyama, M., & Zhang, X. E. (2002). Cultural differences in responses to a likert scale. Research in Nursing & Health, 25 (4), 295–306.
Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of influence on beliefs about information technology use: an empirical study of knowledge workers. Management Information Systems Quarterly, 27 (4), 657-678.
Li, Y. H., & Huang, J. W. (2009). Applying theory of perceived risk and technology acceptance model in the online shopping channel. Proceedings of World Academy of Science, Engineering and Technology, 41.
Lim, W. M., & Ting, D. H. (2012). E-shopping: an analysis of the technology acceptance model. Modern Applied Science, 6 (4), 49-62.
Limayem, M., Khalifa, M., & Frini, A. (2000). What makes consumers buy from internet? A longitudinal study of online shopping. IEEE Transactions on Systems, Man, and Cybernetics-part A: Systems and Humans, 30 (4), 421-432.
Lin, W. B., Wang, M. K., & Hwang, K. P. (2010). The combined model of influencing on-line consumer behavior. Expert Systems with Applications, 37, 3236–3247
Liu, C. C. (2010). Measuring and prioritising value of mobile phone usage. International Journal of Mobile Communications, 8 (1), 42-51.
López-Nicolás, C., Molina-Castillo, F. J., & Bouwman, F. (2008). An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information & Management, 45, 359-364.
Lu, J., Yao, J. E., & Yu, C.S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. Journal of Strategic Information Systems, 14, 245–268.
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determinationa of sample size for covariance structure modeling. Psychological Methods, 1, 130-149.
Matell, M. S., & Jacoby, J. (1971). Is there an optimal number of alternatives for likert scales items? Study I: Reliability and validity. Educational and Psychological Measurement, 31, 657−674.
Mformobile.com (2001). Where there’s a Will there’s a Way. Mformobile M-Comment Newsletter. Retrieved from: http://www.mformobile.com
Nielsen. (2010). Global trends in online shopping. A Nielsen global consumer report.
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7 (3), 69-103.
Pavlou, P. A., & Chai, L. (2002). What drives electronic commerce across cultures? A cross-cultural empirical investigation of the theory of planned behavior. Journal of Electronic Commerce Research, 3 (4), 240-253.
Pi, S. M., Liao, H. L., & Chen, H. M. (2012). Factors that affect consumers’ trust and continuous adoption of online financial services. International Journal of Business and Management, 7 (9).
Pi, S. M., & Sangruang, J. (2011). The perceived risks of online shopping in Taiwan. Social Behavior and Personality, 39 (2), 275-285.
Preston, C. C., & Colman, A. M. (2000). Optimal number of response categories in rating scales: Reliability, validity, discriminating power, and respondent preferences. Acta Psychologica, 104, 1−15.
Quintal, V. A., Lee, J. A., & Soutar, G. N. (2010). Risk, uncertainty and the theory of planned behavior: A tourism example. Tourism Management, 31, 797–805.
Ramayah, T., Rouibah, K., Gopi, M., & Rangel, G. J. (2009). A decomposed theory of reasoned action to explain intention to use internet stock trading among Malaysian investors. Computers in Human Behaviour, 25(6), 1222-1230.
Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of Management Review, 23 (3), 393-404.
Sarker, S., & Wells, J. P. (2003). Understanding: mobile handheld device use and adoption. Communications of the ACM, 46 (12), 35–41.
Siau, K., Sheng, H., & Nah, F. F. H. (2004). The value of mobile commerce to customers. Proceedings of the Third Annual Workshop on HCI Research in MIS.
Smith, A. (2010). Mobile access 2010. Pew Internet & American Life Project. Retrieved from http://www.pewinternet.org/Reports/2010/Mobile-Access-2010.aspx
Stone, M. H. (2004). Substantive scale construction. In E. V. Smith Jr. & R. M. Smith (Eds.), Introduction to rasch measurement. Maple Grove, MN: JAM Press. 201−225.
Tan, S. J. (1999). Strategies for reducing consumers` risk aversion in internet shopping. Journal of Consumer Marketing, 16 (2), 163-180.
Tan, F.B., Yan, L., & Urquhart, C. (2007). The effect of cultural differences on attitude, peer influence, external Influence, and self-efficacy in actual online shopping behavior. Journal of Information Science and Technology, 4 (1), 3-23.
Tasmin, R., & Woods, P. C. (N.D.). Linking knowledge management and innovation: A structural equation modeling approach. Innovation and Knowledge Management in Business Globalization: Theory & Practice. Retrieved from http://eprints.uthm.edu.my/195/1/rosmaini_tasmin.pdf
Tsai, C. Y., Wang, C. C., & Lu, M. T. (2011). Using the technology acceptance model to analyze ease of use of a mobile communication system. Social Behavior and Personality, 39 (1), 65-70.
Urbach, N., Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application, 11 (2), 5-40.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F, D. (2003). Acceptance of information technology: Toward a unified view. Management Information Systems Quarterly, 27 (3), 425-478.
Venkatesh, V., Ramesh, V., & Massey, A.P. (2003). Understanding usability in mobile commerce. Communication of the ACM, 46 (12), 53-56.
Wang, Y. S., Lin, H. H., & Luarn, P. (2006). Predicting consumer intention to use mobile service. Information Systems Journal, 16, 157–179.
Yang, K. (2012). Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior. Journal of Retailing and Consumer Services, 19, 484-491.
Yoon, C., & Kim, S. (2007). Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN. Electronic Commerce Research and Applications, 6, 102–112.
Zhu, D. S., Lee, Z. C., O’Neal, G. S., & Chen, Y. H. (2011). Mr. risk! Please trust me: Trust antecedents that increase online consumer purchase intention. Journal of Internet Banking and Commerce, 16 (3). |
